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A computational framework to map species' distributions (realized density) using occurrence-only data and environmental predictors is presented and illustrated using a textbook example and two case studies: distribution of root vole (Microtes oeconomus) in the Netherlands, and distribution of white-tailed eagle nests (Haliaeetus albicilla) in Croatia.
Third, the performance of the various predictors is presented and detailed for a challenging CASP5 target.
A detailed list of the original predictors is presented in Additional file 1: Table S1.
The relative strength of the individual predictors is presented in Table 11.
An overview of outcomes and potential predictors is presented in Additional file 1. Categorical variables were analyzed using Pearson's Chi-test and Fisher's exact test when appropriate.
In Table 3, in the two first columns, the association between yearly prevalence of respectively non-bodily and bodily harm with the predictors is presented.
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The results for odds of child mortality with multiple predictors are presented in the same table.
Correlations between these predictors are presented in Table 2.
The significant predictors were presented in a graph.
Unadjusted (crude) odds ratio (OR) and statistical significance for each predictors are presented in Table 7.
The predictors are presented with odds ratios (ORs) and 95% confidence intervals (CI) in Table 2.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com